DistOS 2014W Lecture 24

What sort of applications can you expect to run on distributed OS/parallize?
How do you scale up
We can't rely on processor improvements to provide speed-ups
The proposed computational models that need more processor power don't really apply to regular
Users would see the advances with games primarily
More reliance in cloud computing in recent years

7 Dwarfs

Pretty impressive on getting everyone to sign off on the report
Connection to MapReduce
Programs that run on distributed operating systems - applications that can be expected to be massively parallel - what sort of computational model is needed - Abstractions needed on top of the stack.
Predictions about the processing power
GPU's do have 1000 or more cores
Desktop cores have not gotten that fast over the past years. They just don't run fast enough.
Games are the only things that can't be run over the time on single thread
Low power
Being able to run a smart phone with 100's of transistors - stalled with the sequential processing
Why do we need the additional processing power for ? - Games - Games - Games
Doomsday of the IT industry
Massive change in mobile and cloud over the past five years

Dwarfs :

Dense linear algebra - Sparse linear algebra - Spectral methods - Body methods - n-body methods - structured grids - unstructured grids - Monte carlo - Combinational logic - Graph traversal - Dynamic programming - Backtrack/Branch and bound - Construct graphical models - Finite state machines
Of these some can be programmed parallel and some are suitable for sequential